Digitalization in the Regensburg district: Shaping the future with AI!

Digitalization in the Regensburg district: Shaping the future with AI!

On Friday, November 14, 2025, the event "At the forefront! Digitalization in the Regensburg district" will take place in the Regensburg district office. The event begins at 1:00 p.m., followed by a small tasting. The content highlights will be a keynote speech by Professor Dr. Stummeyer, an expert in digital transformation, as well as a panel discussion that starts at 3:00 p.m. Professor Dr. In his keynote, Stummeyer will address the topic “Megatrend Generative AI – How working environments in business and administration are changing” and offer participants compact orientation and concrete use cases.

The event's supporting program promises interesting insights into the digital transformation in the district. The highlights include live demonstrations of RPA (Robotic Process Automation) processes, digital services for everyday life such as the waste app, the “Digital Office for Kids”, which promotes digital skills in a playful way, and the digital monument platform “Monumenta”, which makes the architectural heritage visible. Particularly noteworthy is the “Virtual District”, which enables those interested to discover the region digitally. Registration for the event is required and can be done on the Regensburg district website. Further details can be found in the article by Brennberg.

Digital transformation and automation

In the context of the upcoming event, it becomes clear that digital transformation in companies requires constant process optimization. Robotic Process Automation (RPA) plays a fundamental role here as it automates repetitive and rule-based tasks. According to BigData-Insider, RPA is particularly effective when processing structured data and clearly defined processes, but has its limits when it comes to unstructured data and complex decisions.

Intelligent automation (IA) is becoming increasingly important here. IA combines RPA with artificial intelligence (AI) and makes it possible to process unstructured data and learn from experience. The key technologies of IA include document understanding, machine learning (ML) and natural language processing (NLP). These technologies make a great contribution to the automation of processes, such as automated invoice processing, which achieves an automation rate of over 95%.

The future of automation

Another aspect to consider in digital transformation is the challenges of implementing IA and agent-based systems. Computerwoche emphasizes that strategic planning and interdisciplinary collaboration are essential. Selecting suitable processes and a viable data strategy are key factors for success. Companies that develop clear guidelines for the responsible use of AI position themselves better for future challenges.

Increasing automation will not only change existing working methods, but also reorient human work. There is an increasing focus on strategic thinking and creativity, while data continues to be a key driver of intelligent automation development.